936 resultados para Waste sorting
Resumo:
In the management of solid waste, pollutants over a wide range are released with different routes of exposure for workers. The potential for synergism among the pollutants raises concerns about potential adverse health effects, and there are still many uncertainties involved in exposure assessment. In this study, conventional (culture-based) and molecular real-time polymerase chain reaction (RTPCR) methodologies were used to assess fungal air contamination in a waste-sorting plant which focused on the presence of three potential pathogenic/toxigenic fungal species: Aspergillus flavus, A. fumigatus, and Stachybotrys chartarum. In addition, microbial volatile organic compounds (MVOC) were measured by photoionization detection. For all analysis, samplings were performed at five different workstations inside the facilities and also outdoors as a reference. Penicillium sp. were the most common species found at all plant locations. Pathogenic/toxigenic species (A. fumigatus and S. chartarum) were detected at two different workstations by RTPCR but not by culture-based techniques. MVOC concentration indoors ranged between 0 and 8.9 ppm (average 5.3 ± 3.16 ppm). Our results illustrated the advantage of combining both conventional and molecular methodologies in fungal exposure assessment. Together with MVOC analyses in indoor air, data obtained allow for a more precise evaluation of potential health risks associated with bioaerosol exposure. Consequently, with this knowledge, strategies may be developed for effective protection of the workers.
Resumo:
Organic waste is a rich substrate for microbial growth, and because of that, workers from waste industry are at higher risk of exposure to bioaerosols. This study aimed to assess fungal contamination in two plants handling solid waste management. Air samples from the two plants were collected through an impaction method. Surface samples were also collected by swabbing surfaces of the same indoor sites. All collected samples were incubated at 27◦C for 5 to 7 d. After lab processing and incubation of collected samples, quantitative and qualitative results were obtained with identification of the isolated fungal species. Air samples were also subjected to molecular methods by real-time polymerase chain reaction (RT PCR) using an impinger method to measure DNA of Aspergillus flavus complex and Stachybotrys chartarum. Assessment of particulate matter (PM) was also conducted with portable direct-reading equipment. Particles concentration measurement was performed at five different sizes (PM0.5; PM1; PM2.5; PM5; PM10). With respect to the waste sorting plant, three species more frequently isolated in air and surfaces were A. niger (73.9%; 66.1%), A. fumigatus (16%; 13.8%), and A. flavus (8.7%; 14.2%). In the incineration plant, the most prevalent species detected in air samples were Penicillium sp. (62.9%), A. fumigatus (18%), and A. flavus (6%), while the most frequently isolated in surface samples were Penicillium sp. (57.5%), A. fumigatus (22.3%) and A. niger (12.8%). Stachybotrys chartarum and other toxinogenic strains from A. flavus complex were not detected. The most common PM sizes obtained were the PM10 and PM5 (inhalable fraction). Since waste is the main internal fungal source in the analyzed settings, preventive and protective measures need to be maintained to avoid worker exposure to fungi and their metabolites.
Resumo:
Objectives - This study intended to characterize work environment contamination by particles in 2 waste-sorting plants. Material and Methods - Particles were measured by portable direct-reading equipment. Besides mass concentration in different sizes, data related with the number of particles concentration were also obtained. Results - Both sorting units showed the same distribution concerning the 2 exposure metrics: particulate matter 5 (PM5) and particulate matter 10 (PM10) reached the highest levels and 0.3 μm was the fraction with a higher number of particles. Unit B showed higher (p < 0.05) levels for both exposure metrics. For instance, in unit B the PM10 size is 9-fold higher than in unit A. In unit A, particulate matter values obtained in pre-sorting and in the sequential sorting cabinet were higher without ventilation working. Conclusions - Workers from both waste-sorting plants are exposed to particles. Particle counting provided additional information that is of extreme value for analyzing the health effects of particles since higher values of particles concentration were obtained in the smallest fraction.
Resumo:
Aspergillus fumigatus is one of the major ubiquitous saprophytic fungi and it is considered one of the fungal species with higher clinical relevance. This study aimed at characterising the prevalence of A. fumigatus complex in one waste-sorting plant and also in one incineration plant. Conventional and molecular methodologies were applied in order to detect its presence. Aspergillus fumigatus complex was the second most frequently found in the air from the waste-sorting plant (16.0%) and from the incineration plant (18.0%). Regarding surfaces, it ranked the third species most frequently found in the waste-sorting plant (13.8%) and the second in the incineration plant (22.3%). In the waste-sorting plant, it was possible to amplify by qPCR DNA from the A. fumigatus complex in all culture-positive sampling sites plus one other sampling site that was negative by culture analysis. Considering the observed fungal load, it is recommended to apply preventive and protective measures in order to avoid or minimise worker's exposure.
Resumo:
High loads of fungi have been reported in different types of waste management plants. This study intends to assess fungal contamination in one waste-sorting plant before and after cleaning procedures in order to analyze their effectiveness. Air samples of 50 L were collected through an impaction method, while surface samples, taken at the same time, were collected by the swabbing method and subject to further macro- and microscopic observations. In addition, we collected air samples of 250 L using the impinger Coriolis μ air sampler (Bertin Technologies) at 300 L/min airflow rate in order to perform real-time quantitative PCR (qPCR) amplification of genes from specific fungal species, namely Aspergillus fumigatus and Aspergillus flavus complexes, as well as Stachybotrys chartarum species. Fungal quantification in the air ranged from 180 to 5,280 CFU m−3 before cleaning and from 220 to 2,460 CFU m−3 after cleaning procedures. Surfaces presented results that ranged from 29 × 104 to 109 × 104 CFU m−2 before cleaning and from 11 × 104 to 89 × 104 CFU m−2 after cleaning. Statistically significant differences regarding fungal load were not detected between before and after cleaning procedures. Toxigenic strains from A. flavus complex and S. chartarum were not detected by qPCR. Conversely, the A. fumigatus species was successfully detected by qPCR and interestingly it was amplified in two samples where no detection by conventional methods was observed. Overall, these results reveal the inefficacy of the cleaning procedures and that it is important to determine fungal burden in order to carry out risk assessment.
Resumo:
It has been estimated that one third of edible food destined for human consumption is lost or wasted along the food supply chain globally. Much of the waste comes from Global North, where consumers are considered as the bigger contributors. Different studies tried to analyze and estimate the Household Food Waste (HFW), especially in UK and Northern Europe. The result is that accurate studies at national level exist only in UK, Finland and Norway while no such studies are available in Italy, except for survey- based researches. Though, there is a widespread awareness that such methods might be not able to estimate Food Waste. Results emerging from literature clearly suggest that survey estimate inferior amounts of Food Waste as a result, if compared to waste sorting and weighting analysis or to diary studies. The hypothesis that household food waste is under-estimated when gathered through questionnaires has been enquired into. First, a literature review of behavioral economics and heuristics has been proposed; then, a literature review of the sector listing the existing methodologies to gather national data on Household Food Waste has been illustrated. Finally, a pilot experiment to test a mixed methodology is proposed. While literature suggests that four specific cognitive biases might be able to affect the reliability of answers in questionnaires, results of the present experiment clearly indicate that there is a relevant difference between how much the individual thinks to waste and he/she actually does. The result is a mixed methodology based on questionnaire, diary and waste sorting, able to overcome the cons of each single method.
Resumo:
Sähkö- ja elektroniikka-alan yritykset eivät yleensä kuormita merkittävästi ympäristöä, sillä teollisuudenalan suurimmat ympäristövaikutukset aiheutuvat alihankkijoiden ja komponenttivalmistajien toiminnasta. Yritysten oma toiminta perustuu pitkälti tuotekehitykseen ja tuotteiden loppukokoonpanoon valmiista komponenteista. Syntynyt jäte on tyypillisesti pääosin pakkausjätettä, metalleja, kaatopaikkajätettä ja vähäisessä määrin myös ongelmajätettä. Vähäisen ympäristökuormituksen johdosta yrityksiltä ei yleensä vaadita ympäristölupaa. Diplomityössä laadittiin jätehuoltosuunnitelma elektroniikka-alan yritykselle. Työ suoritettiin Kemppi Oy:n toimeksiannosta Lahdessa. Jätehuoltosuunnitelman noudattaminen parantaa yrityksen julkisuuskuvaa ja tuo kustannussäästöjä. Toimivan suunnitelman laatiminen vaatii kuitenkin aikaa ja muita resursseja. Jätehuollon toimivuus on tarkistettava säännöllisesti, etenkin silloin kun yrityksen toiminnan painopiste muuttuu. Käytännön osuudessa kartoitettiin edellisvuosien jätemäärät ja yrityksen jätehuollon tila. Jätehuoltosuunnitelman laatimiselle oli selkeä tarve, koska jätehuolto perustui osin kirjoittamattomiin sääntöihin ja vanhoihin tottumuksiin. Syntypaikkalajittelua tehostettiin lisäämällä jäteastioita ja -pisteitä jätteiden syntypaikoille. Lajittelua parannettiin myös laatimalla selkeät ohjeet ja kouluttamalla työntekijöitä.
Resumo:
Vuoden 2016 alusta alkaen astuu Suomessa voimaan orgaanisen jätteen kaatopaikkakielto, joka rajoittaa voimakkaasti biohajoavan tai muun orgaanisen aineksen sijoittamista kaatopaikalle. Kiellon tavoite on ohjata orgaaniset jätevirrat hyödyntämiskäsittelyyn ja vähentää kaatopaikkasijoituksen ympäristövaikutuksia. Tämän diplomityön tavoitteena oli orgaanisen jätteen kaatopaikkakieltoon varautumiseksi luoda toimintamalli jätekuormien vastaanottoon, tarkastukseen ja käsittelyyn Keltakankaan jätekeskuksessa. Vuonna 2016 käyttöön otettavassa toimintamallissa kaatopaikalle sijoitetaan vain kaatopaikkakelpoiseksi todistettuja teollisuuden jätteitä ja asbestijätettä, epäorgaanisia jakeita sekä sekalaisen jätteen lajittelussa tai mekaanisessa käsittelyssä syntyviä hyödyntämiskelvottomia rejektejä. Usea tällä hetkellä kaatopaikalle sijoitettava jätelaji ohjautuu vaihtoehtoiseen käsittelyyn. Toimintamallin mukaan kaikki jätekeskukseen vastaanotettavat sekalaiset jätekuormat ohjataan tarkastettavaksi, esikäsiteltäväksi ja tarvittaessa mekaaniseen lajittelulinjastoon kaatopaikkasijoittamisen sijaan. Ongelmallinen jae on hyödyntämiskelvoton PVC-muovi, joka nostaa rejektien orgaanisen aineksen pitoisuutta. Niin kauan kuin PVC:lle ei ole olemassa hyötykäyttökohdetta, se ohjautunee poikkeusluvalla jätteenkäsittelyn rejektien mukana kaatopaikalle. Aiemmin sekalaisesta jätteestä 70–80 % on sijoitettu kaatopaikalle, mutta uusi lajittelulinjasto mahdollistaa käsiteltävän jätemäärä voimakkaan kasvattamisen. Toimintamallin testausvaiheessa vastaanotetuista sekalaisista kuormista luokiteltiin 11 % energiahyödynnettäviksi kotitalousjätteen kaltaisiksi, 69 % lajittelulinjastossa käsiteltäviksi ja 20 % hyödyntämiskelvottomaksi kaatopaikkajätteeksi. Kaatopaikalle sijoitettava kokonaisjätemäärä on uuden toimintamallin myötä mahdollista puolittaa, kun sekalaisen jätteen käsittelyä lisätään ja useat muut jätelajit ohjautuvat vaihtoehtoiseen käsittelyyn.
Resumo:
Tämän kandidaatintyön tarkoituksena on selvittää yliopiston jätteiden lajittelun onnistumista. Kandidaatintyössä pyritään selvittämään miten jätehuollon järjestämisellä ja tiedotuksella lajittelu saadaan onnistumaan kansainvälisessä ympäristössä. Kandidaatintyössä tarkastellaan ensisijaisesti Lappeenrannan teknillisen yliopiston jätteiden lajittelun käytännöllisyyttä yliopiston näkökulmasta.
Resumo:
This thesis describes the development of a simple and accurate method for estimating the quantity and composition of household waste arisings. The method is based on the fundamental tenet that waste arisings can be predicted from information on the demographic and socio-economic characteristics of households, thus reducing the need for the direct measurement of waste arisings to that necessary for the calibration of a prediction model. The aim of the research is twofold: firstly to investigate the generation of waste arisings at the household level, and secondly to devise a method for supplying information on waste arisings to meet the needs of waste collection and disposal authorities, policy makers at both national and European level and the manufacturers of plant and equipment for waste sorting and treatment. The research was carried out in three phases: theoretical, empirical and analytical. In the theoretical phase specific testable hypotheses were formulated concerning the process of waste generation at the household level. The empirical phase of the research involved an initial questionnaire survey of 1277 households to obtain data on their socio-economic characteristics, and the subsequent sorting of waste arisings from each of the households surveyed. The analytical phase was divided between (a) the testing of the research hypotheses by matching each household's waste against its demographic/socioeconomic characteristics (b) the development of statistical models capable of predicting the waste arisings from an individual household and (c) the development of a practical method for obtaining area-based estimates of waste arisings using readily available data from the national census. The latter method was found to represent a substantial improvement over conventional methods of waste estimation in terms of both accuracy and spatial flexibility. The research therefore represents a substantial contribution both to scientific knowledge of the process of household waste generation, and to the practical management of waste arisings.
Resumo:
This study analyzes the process of generation and management of solid waste in the Municipality of the City of Chibuto-Mozambique, drawing on the different approaches towards allocation and the socio-environmental implications resulting from this process and waste spatial distribution. To answer these objectives a questionnaire was administered to 367 households distributed in 14 neighborhoods of the city to elicit information on how solid waste is treated and what could be its impact on public health of the residents. From this perspective, the questionnaire gasp information from immigrant residents regarding both their origin, and socio economic condition. Apart from the questionnaire, semi-structured interviews were conducted to staff working on the Sanitation Sector, Urbanization Sector of the Chibuto Municipality, including the Health Service, and Women and Social Affairs. In addition to these data collection methods, for further discussion on the subject, the researcher draw a theoretical framework grounded through literature review, as well as systematic observation of the phenomenon. Research findings revealed that the solid waste collection services provided by the Chibuto Municipality do not follow the procedures laid down in the Regulation on Solid Waste Management, which advocates environmentally safe, sustainable, and complete management of waste. First, the services use open dumps for waste management. Secondly, waste collection does not cover all citizens living in the neighborhoods governed by the municipality, due to financial, technical, and organizational reasons. More importantly, the study found that due to this failure, more than 90% of households surveyed continue to use the traditional methods on waste management which include burning, or the burial techniques. On the other hand, some citizens throw waste on the streets, a method that threatens public health because it increases cases of diseases related to sanitation problems such as (diarrhea and malaria), especially in suburban and peripheral urban areas. Concerning with the above mentioned problems which constitute a real threat to the public health, some ways are proposed for more sustainable and spatially appropriate solid waste management through recycling, waste sorting, composting, reuse, and reduction of solid waste generation.
Resumo:
Occupational exposure assessment can be a challenge due to several factors being the most important the costs associate and the result's dependence from the conditions at the time of sampling. Conducting a task-based exposure assessment allow defining better control measures to eliminate or reduce exposure since more easily identifies the task with higher exposure. A research study was developed to show the importance of task-based exposure assessment in four different settings (bakery, horsemanship, waste sorting and cork industry). Measurements were performed using a portable direct-reading hand-held equipment and were conducted near the workers nose during tasks performance. For each task were done measurements of approximately 5 minutes. It was possible to detect the task in each setting that was responsible for higher particles exposure allowing the priority definition regarding investments in preventive and protection measures.
Resumo:
Health effects resulting from dust inhalation in occupational environments may be more strongly associated with specific microbial components, such as fungi, than to the particles. The aim of the present study is to characterize the occupational exposure to the fungal burden in four different occupational settings (two feed industries, one poultry and one waste sorting industry), presenting results from two air sampling methods – the impinger collector and the use of filters. In addition, the equipment used for the filter sampling method allowed a more accurate characterization regarding the dimension of the collected fungal particles (less than 2.5 μm size). Air samples of 300L were collected using the impinger Coriolis μ air sampler. Simultaneously, the aerosol monitor (DustTrak II model 8532, TSI®) allowed assessing viable microbiological material below the 2.5 μm size. After sampling, filters were immersed in 300 mL of sterilized distilled water and agitated for 30 min at 100 rpm. 150 μl from the sterilized distilled water were subsequently spread onto malt extract agar (2%) with chloramphenicol (0.05 g/L). All plates were incubated at 27.5 ºC during 5–7 days. With the impinger method, the fungal load ranged from 0 to 413 CFU.m-3 and with the filter method, ranged from 0 to 64 CFU.m-3. In one feed industry, Penicillium genus was the most frequently found genus (66.7%) using the impinger method and three more fungi species/genera/complex were found. The filter assay allowed the detection of only two species/genera/complex in the same industry. In the other feed industry, Cladosporium sp. was the most found (33.3%) with impinger method and three more species/genera/complex were also found. Through the filter assay four fungi species/genera/complex were found. In the assessed poultry, Rhyzopus sp. was the most frequently detected (61.2%) and more three species/genera/complex were isolated. Through the filter assay, only two fungal species/genera/complex were found. In the waste sorting industry Penicillium sp. was the most prevalent (73.6%) with the impinger method, being isolated two more different fungi species/genera/complex. Through the filter assay only Penicillium sp. was found. A more precise determination of occupational fungal exposure was ensured, since it was possible to obtain information regarding not only the characterization of fungal contamination (impinger method), but also the size of dust particles, and viable fungal particles, that can reach the worker ́s respiratory tract (filters method). Both methods should be used in parallel to enrich discussion regarding potential health effects of occupational exposure to fungi.
Resumo:
This study analyses the area of construction and demolition waste (C & D W) auditing. The production of C&DW has grown year after year since the Environmental Protection Agency (EPA) first published a report in 1996 which provided data for C&D W quantities for 1995 (EPA, 1996a). The most recent report produced by the EPA is based on data for 2005 (EPA, 2006). This report estimated that the quantity of C&DW produced for that period to be 14 931 486 tonnes. However, this is a ‘data update’ report containing an update on certain waste statistics so any total provided would not be a true reflection of the waste produced for that period. This illustrates that a more construction site-specific form of data is required. The Department of Building and Civil Engineering in the Galway-Mayo Institute of Technology have carried out two recent research projects (Grimes, 2005; Kelly, 2006) in this area, which have produced waste production indicators based on site-specific data. This involved the design and testing of an original auditing tool based on visual characterisation and the application of conversion factors. One of the main recommendations of these studies was to compare this visual characterisation approach with a photogrammetric sorting methodology. This study investigates the application of photogrammetric sorting on a residential construction site in the Galway region. A visual characterisation study is also carried out on the same project to compare the two methodologies and assess the practical application in a construction site environment. Data collected from the waste management contractor on site was also used to provide further evaluation. From this, a set of waste production indicators for new residential construction was produced: □ 50.8 kg/m2 for new residential construction using data provided by the visual characterisation method and the Landfill Levy conversion factors. □ 43 kg/m2 for new residential construction using data provided by the photogrammetric sorting method and the Landfill Levy conversion factors. □ 23.8 kg/m2 for new residential construction using data provided by Waste Management Contractor (WMC). The acquisition of the data from the waste management contractor was a key element for testing of the information produced by the visual characterisation and photogrammetric sorting methods. The actual weight provided by the waste management contractor shows a significant difference between the quantities provided.